@netdata/charts
Version:
Netdata frontend SDK and chart utilities
243 lines • 12.5 kB
JavaScript
function _regenerator() { /*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/babel/babel/blob/main/packages/babel-helpers/LICENSE */ var e, t, r = "function" == typeof Symbol ? Symbol : {}, n = r.iterator || "@@iterator", o = r.toStringTag || "@@toStringTag"; function i(r, n, o, i) { var c = n && n.prototype instanceof Generator ? n : Generator, u = Object.create(c.prototype); return _regeneratorDefine2(u, "_invoke", function (r, n, o) { var i, c, u, f = 0, p = o || [], y = !1, G = { p: 0, n: 0, v: e, a: d, f: d.bind(e, 4), d: function d(t, r) { return i = t, c = 0, u = e, G.n = r, a; } }; function d(r, n) { for (c = r, u = n, t = 0; !y && f && !o && t < p.length; t++) { var o, i = p[t], d = G.p, l = i[2]; r > 3 ? (o = l === n) && (u = i[(c = i[4]) ? 5 : (c = 3, 3)], i[4] = i[5] = e) : i[0] <= d && ((o = r < 2 && d < i[1]) ? (c = 0, G.v = n, G.n = i[1]) : d < l && (o = r < 3 || i[0] > n || n > l) && (i[4] = r, i[5] = n, G.n = l, c = 0)); } if (o || r > 1) return a; throw y = !0, n; } return function (o, p, l) { if (f > 1) throw TypeError("Generator is already running"); for (y && 1 === p && d(p, l), c = p, u = l; (t = c < 2 ? e : u) || !y;) { i || (c ? c < 3 ? (c > 1 && (G.n = -1), d(c, u)) : G.n = u : G.v = u); try { if (f = 2, i) { if (c || (o = "next"), t = i[o]) { if (!(t = t.call(i, u))) throw TypeError("iterator result is not an object"); if (!t.done) return t; u = t.value, c < 2 && (c = 0); } else 1 === c && (t = i["return"]) && t.call(i), c < 2 && (u = TypeError("The iterator does not provide a '" + o + "' method"), c = 1); i = e; } else if ((t = (y = G.n < 0) ? u : r.call(n, G)) !== a) break; } catch (t) { i = e, c = 1, u = t; } finally { f = 1; } } return { value: t, done: y }; }; }(r, o, i), !0), u; } var a = {}; function Generator() {} function GeneratorFunction() {} function GeneratorFunctionPrototype() {} t = Object.getPrototypeOf; var c = [][n] ? t(t([][n]())) : (_regeneratorDefine2(t = {}, n, function () { return this; }), t), u = GeneratorFunctionPrototype.prototype = Generator.prototype = Object.create(c); function f(e) { return Object.setPrototypeOf ? Object.setPrototypeOf(e, GeneratorFunctionPrototype) : (e.__proto__ = GeneratorFunctionPrototype, _regeneratorDefine2(e, o, "GeneratorFunction")), e.prototype = Object.create(u), e; } return GeneratorFunction.prototype = GeneratorFunctionPrototype, _regeneratorDefine2(u, "constructor", GeneratorFunctionPrototype), _regeneratorDefine2(GeneratorFunctionPrototype, "constructor", GeneratorFunction), GeneratorFunction.displayName = "GeneratorFunction", _regeneratorDefine2(GeneratorFunctionPrototype, o, "GeneratorFunction"), _regeneratorDefine2(u), _regeneratorDefine2(u, o, "Generator"), _regeneratorDefine2(u, n, function () { return this; }), _regeneratorDefine2(u, "toString", function () { return "[object Generator]"; }), (_regenerator = function _regenerator() { return { w: i, m: f }; })(); }
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import fetchCloudWeights from "./fetchCloudWeights";
import { makeTestChart } from "@jest/testUtilities";
global.fetch = jest.fn(function () {
return Promise.resolve({
ok: true,
json: function json() {
return Promise.resolve({
result: []
});
}
});
});
describe("fetchCloudWeights", function () {
var chart;
beforeEach(function () {
jest.clearAllMocks();
var _makeTestChart = makeTestChart({
attributes: {
host: "https://api.netdata.cloud",
groupBy: ["dimension"],
groupByLabel: [],
selectedContexts: ["system.cpu"],
selectedInstances: [],
selectedDimensions: [],
selectedLabels: [],
contextScope: ["system"],
nodesScope: [],
after: 1000,
before: 2000,
points: 100
}
}),
testChart = _makeTestChart.chart;
chart = testChart;
chart.updateAttribute("aggregationMethod", "sum");
});
it("uses chart attributes as defaults", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee() {
var payload;
return _regenerator().w(function (_context) {
while (1) switch (_context.n) {
case 0:
_context.n = 1;
return fetchCloudWeights(chart);
case 1:
expect(global.fetch).toHaveBeenCalledWith("https://api.netdata.cloud/weights", expect.objectContaining({
method: "POST",
body: expect.any(String)
}));
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.aggregations.metrics[0].group_by).toEqual(["dimension"]);
expect(payload.aggregations.metrics[0].aggregation).toBe("sum");
expect(payload.selectors.contexts).toEqual(["system.cpu"]);
case 2:
return _context.a(2);
}
}, _callee);
})));
it("overrides chart attributes with custom attrs", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee2() {
var payload;
return _regenerator().w(function (_context2) {
while (1) switch (_context2.n) {
case 0:
_context2.n = 1;
return fetchCloudWeights(chart, {
attrs: {
groupBy: ["node", "instance"],
groupByLabel: ["custom_label"],
aggregationMethod: "avg",
after: 3000,
before: 4000,
points: 200
}
});
case 1:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.aggregations.metrics[0].group_by).toEqual(["node", "instance"]);
expect(payload.aggregations.metrics[0].group_by_label).toEqual(["custom_label"]);
expect(payload.aggregations.metrics[0].aggregation).toBe("avg");
expect(payload.window.after).toBe(3000);
expect(payload.window.before).toBe(4000);
expect(payload.window.points).toBe(200);
expect(payload.window.baseline.after).toBe(3000);
expect(payload.window.baseline.before).toBe(4000);
case 2:
return _context2.a(2);
}
}, _callee2);
})));
it("uses highlight window when provided with baseline fallback", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee3() {
var payload;
return _regenerator().w(function (_context3) {
while (1) switch (_context3.n) {
case 0:
_context3.n = 1;
return fetchCloudWeights(chart, {
attrs: {
after: 1000,
before: 2000,
highlightAfter: 1500,
highlightBefore: 1800
}
});
case 1:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.window.after).toBe(1500);
expect(payload.window.before).toBe(1800);
expect(payload.window.baseline.after).toBe(1000);
expect(payload.window.baseline.before).toBe(2000);
case 2:
return _context3.a(2);
}
}, _callee3);
})));
it("falls back to main range when no highlight provided", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee4() {
var payload;
return _regenerator().w(function (_context4) {
while (1) switch (_context4.n) {
case 0:
_context4.n = 1;
return fetchCloudWeights(chart, {
attrs: {
after: 3000,
before: 4000
}
});
case 1:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.window.after).toBe(3000);
expect(payload.window.before).toBe(4000);
expect(payload.window.baseline.after).toBe(3000);
expect(payload.window.baseline.before).toBe(4000);
case 2:
return _context4.a(2);
}
}, _callee4);
})));
it("handles weights-specific attributes", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee5() {
var payload;
return _regenerator().w(function (_context5) {
while (1) switch (_context5.n) {
case 0:
_context5.n = 1;
return fetchCloudWeights(chart, {
attrs: {
method: "custom-method"
}
});
case 1:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.method).toBe("custom-method");
case 2:
return _context5.a(2);
}
}, _callee5);
})));
it("merges custom options with default options", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee6() {
var payload;
return _regenerator().w(function (_context6) {
while (1) switch (_context6.n) {
case 0:
_context6.n = 1;
return fetchCloudWeights(chart, {
attrs: {
options: ["custom", "option"]
}
});
case 1:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.options).toContain("custom");
expect(payload.options).toContain("option");
expect(payload.options).toContain("minify");
expect(payload.options).toContain("nonzero");
expect(payload.options).toContain("unaligned");
case 2:
return _context6.a(2);
}
}, _callee6);
})));
it("uses default method when not provided", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee7() {
var payload;
return _regenerator().w(function (_context7) {
while (1) switch (_context7.n) {
case 0:
_context7.n = 1;
return fetchCloudWeights(chart);
case 1:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.method).toBe("volume");
case 2:
return _context7.a(2);
}
}, _callee7);
})));
it("includes timeout and default structure", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee8() {
var payload;
return _regenerator().w(function (_context8) {
while (1) switch (_context8.n) {
case 0:
_context8.n = 1;
return fetchCloudWeights(chart);
case 1:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.timeout).toBe(180000);
expect(payload).toHaveProperty("selectors");
expect(payload).toHaveProperty("aggregations");
expect(payload).toHaveProperty("window");
expect(payload).toHaveProperty("scope");
case 2:
return _context8.a(2);
}
}, _callee8);
})));
it("passes through additional fetch options", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee9() {
var signal;
return _regenerator().w(function (_context9) {
while (1) switch (_context9.n) {
case 0:
signal = new AbortController().signal;
_context9.n = 1;
return fetchCloudWeights(chart, {
signal: signal,
headers: {
"Custom-Header": "value"
}
});
case 1:
expect(global.fetch).toHaveBeenCalledWith("https://api.netdata.cloud/weights", expect.objectContaining({
method: "POST",
signal: signal,
headers: {
"Custom-Header": "value"
}
}));
case 2:
return _context9.a(2);
}
}, _callee9);
})));
});